Senior Analytics Engineer
14 hours ago
Senior Data & Analytics Engineer – Python | Sydney | Contract
Location:
Sydney, Australia
Employment Type:
Contract
About INGRITY
At INGRITY, we're a Microsoft Data & AI Solution Partner passionate about building transformative data solutions. We work with leading ASX-listed enterprises and dynamic medium-sized businesses to deliver impactful outcomes through innovative data engineering and AI-driven analytics. Our success is grounded in customer-centric delivery, technical excellence, and a deep collaboration with Microsoft.
About The Role
We're on the lookout for a Senior Analytics Engineer with strong hands-on analytics expertise, coupled with deep experience in data pipeline engineering using Python. . This hybrid role is central to our evolution toward modern data platforms that leverage Python, cloud-native tools, and AI/ML frameworks.
You'll lead and contribute to the design and implementation of high-performing data pipelines and analytical workflows that support strategic initiatives, automation, and real-time decision-making.
Key Responsibilities:
- Build and manage scalable Python-based data pipelines supporting multi-agent AI and advanced analytics use cases
- Design, develop, and automate data ingestion, transformation, and delivery processes
- Collaborate with analysts and data scientists to prepare high-quality datasets for AI/ML models and BI tools
- Support the migration of Alteryx workflows to Python, with strategic input and hands-on execution
- Optimize existing pipelines for performance, reusability, and operational stability
- Create detailed technical documentation and design artefacts for analytics architecture
- Operate and maintain production-grade data pipelines and orchestration systems
- Partner with cross-functional teams to align data engineering with analytics, reporting, and business goals
Required Skills & Experience:
- 5+ years of experience in Python-based data engineering, with a strong portfolio of building robust data workflows
- Deep expertise in Python data libraries.
- Proven track record of building ETL/ELT pipelines, including API integrations
- Strong background in preparing datasets for AI/ML models and analytical platforms
- Experience with cloud data platforms (e.g., AWS S3, Redshift, Snowflake, BigQuery)
- Solid understanding of data modeling, data orchestration tools (e.g., Airflow, Prefect)
- Strong communication skills and ability to work in collaborative, fast-paced teams
Nice to Have
- Experience working with Alteryx workflows and their migration to Python
- Exposure to BI tools like ThoughtSpot
Other Details
- Location: Sydney, Australia
- Working Rights: Applicants must have full Australian working rights
- Contract role with potential for extension based on performance and project needs
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